Web: http://arxiv.org/abs/2209.10399

Sept. 22, 2022, 1:14 a.m. | Shuja Khalid, Frank Rudzicz

cs.CV updates on arXiv.org arxiv.org

We present a novel neural radiance model that is trainable in a
self-supervised manner for novel-view synthesis of dynamic unstructured scenes.
Our end-to-end trainable algorithm learns highly complex, real-world static
scenes within seconds and dynamic scenes with both rigid and non-rigid motion
within minutes. By differentiating between static and motion-centric pixels, we
create high-quality representations from a sparse set of images. We perform
extensive qualitative and quantitative evaluation on existing benchmarks and
set the state-of-the-art on performance measures on the …

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